4 ms·
The major advantage (depending on your use case) is that your dataset is not limited to the size of your available memory.
by lastcanal 13y ago
The major advantage (depending on your use case) is that your dataset is not limited to the size of your available memory.
- otterley 13y agoDoes it manage its own cache like InnoDB? Otherwise you're gonna have a bad time. Redis tried this (see http://redis.io/topics/virtual-memory http://redis.io/topics/virtual-memory) but it died a quick and well-deserved death (the code isn't even in it anymore as of 2.6).
- lastcanal 13y agoIt uses LevelDB as the storage engine and lets you configure the cache parameters from the configuration file. leveldb: # in MB cache_size: 500 # in KB block_size: 32 # in MB write_buffer_size: 64 # in MB compaction_speed: 1000 # yes|no compression: no